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    "# Machine Learning Notebooks\n",
    "# 机器学习Notebooks\n",
    "\n",
    "*Welcome to the Machine Learning Notebooks!*\n",
    "\n",
    "*欢迎来到机器学习Notebooks*\n",
    "\n",
    "[Prerequisites](#Prerequisites) (see below)\n",
    "\n",
    "[先得掌握的知识](#先得掌握的知识) (底部)\n",
    "\n",
    "## Notebooks\n",
    "1. [The Machine Learning landscape](01_the_machine_learning_landscape.ipynb)\n",
    "2. [End-to-end Machine Learning project](02_end_to_end_machine_learning_project.ipynb)\n",
    "3. [Classification](03_classification.ipynb)\n",
    "4. [Training Linear Models](04_training_linear_models.ipynb)\n",
    "5. [Support Vector Machines](05_support_vector_machines.ipynb)\n",
    "6. [Decision Trees](06_decision_trees.ipynb)\n",
    "7. [Ensemble Learning and Random Forests](07_ensemble_learning_and_random_forests.ipynb)\n",
    "8. [Dimensionality Reduction & Unsupervised Learning](08_dimensionality_reduction.ipynb)\n",
    "9. [Up and running with TensorFlow](09_up_and_running_with_tensorflow.ipynb)\n",
    "10. [Introduction to Artificial Neural Networks](10_introduction_to_artificial_neural_networks.ipynb)\n",
    "11. [Deep Learning](11_deep_learning.ipynb)\n",
    "12. [Distributed TensorFlow](12_distributed_tensorflow.ipynb)\n",
    "13. [Convolutional Neural Networks](13_convolutional_neural_networks.ipynb)\n",
    "14. [Recurrent Neural Networks](14_recurrent_neural_networks.ipynb)\n",
    "15. [Autoencoders](15_autoencoders.ipynb)\n",
    "16. [Reinforcement Learning](16_reinforcement_learning.ipynb)\n",
    "\n",
    "## Scientific Python tutorials （python科学计算教程）\n",
    "* [NumPy](tools_numpy.ipynb)\n",
    "* [Matplotlib](tools_matplotlib.ipynb)\n",
    "* [Pandas](tools_pandas.ipynb)\n",
    "\n",
    "## Math Tutorials 数学教程\n",
    "* [Linear Algebra](math_linear_algebra.ipynb)\n",
    "* Calculus (coming soon)\n",
    "* [线性代数](math_linear_algebra.ipynb)\n",
    "* 微积分（即将更新）\n",
    "\n",
    "## Extra Material 额外资料\n",
    "* [Capsule Networks](extra_capsnets.ipynb)\n",
    "* [TensorFlow Reproducibility](extra_tensorflow_reproducibility.ipynb)\n",
    "* [胶囊网络](extra_capsnets.ipynb)\n",
    "* [TensorFlow重现性](extra_tensorflow_reproducibility.ipynb)\n",
    "\n",
    "## Misc. 大杂烩\n",
    "* [Equations](book_equations.ipynb) (list of equations in the book)\n",
    "* [方程式](book_equations.ipynb) (书中的所有方程式)\n"
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    "## Prerequisites\n",
    "## 先得掌握的知识\n",
    "### To understand 为了理解先得掌握\n",
    "* **Python** – you don't need to be an expert python programmer, but you do need to know the basics. If you don't, the official [Python tutorial](https://docs.python.org/3/tutorial/) is a good place to start.\n",
    "* **Scientific Python** – We will be using a few popular python libraries, in particular NumPy, matplotlib and pandas. If you are not familiar with these libraries, you should probably start by going through the tutorials in the Tools section (especially NumPy).\n",
    "* **Math** – We will also use some notions of Linear Algebra, Calculus, Statistics and Probability theory. You should be able to follow along if you learned these in the past as it won't be very advanced, but if you don't know about these topics or you need a refresher then go through the appropriate introduction in the Math section.\n",
    "\n",
    "\n",
    "* **Python** –你不需要专业级别的python编程能力，但必须得有基础。如果还没有，就从官方[Python教程](https://docs.python.org/3/tutorial/)开始吧。\n",
    "* **Python科学计算** – 我们使用一些流行的python库，像Numpy，matplotlib和pandas。如果你对这些库不熟，你或许应该先看看这些工具的教程（尤其是Numpy）\n",
    "* **数学** – 我们也会用到线性代数，微积分，统计学，概率论的知识。\n",
    "\n",
    "### To run the examples 为了运行示例先得掌握\n",
    "\n",
    "* **Jupyter** – These notebooks are based on Jupyter. If you just plan to read without running any code, there's really nothing more to know, just keep reading! But if you want to experiment with the code examples you need to:\n",
    "    * follow the [installation instructions](https://github.com/ageron/handson-ml/#installation),\n",
    "    * learn how to use Jupyter. Start the User Interface Tour from the Help menu.\n",
    "    \n",
    "    \n",
    "* **Jupyter** – 这些notebook基于Jupyter。如果你只打算阅读而不打算运行其中的代码，那么现在就去看吧。如果你想运行其中的代码，你需要：\n",
    "    * 照着我的[安装引导](https://github.com/zhangxingjing/handson-ml/#installation)做,\n",
    "    * 学习怎样使用Jupyter。从帮助菜单（Jupyter菜单的Help）开始了解用户界面。\n",
    "\n",
    "\n",
    "### To activate extensions 为了激活扩展先得掌握\n",
    "* If this is an interactive session (see above), you may want to turn on a few Jupyter extensions by going to the [Extension Configuration](../nbextensions/) page. In particular the \"*Table of Contents (2)*\" extension is quite useful.\n",
    "\n",
    "* 如果这是一个交互式进程（参阅上方），你可以通过[扩展配置](../nbextensions/)来激活一些Jupyter扩展。尤其是\"*Table of Contents (2)*\"扩展很有用。\n"
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